diff --git a/README.md b/README.md
index a2f0524..ac9e59b 100644
--- a/README.md
+++ b/README.md
@@ -11,7 +11,7 @@ To use the old but cheap Tesla K20Xm with openAI Clip you need to downgrade torc
 ### CUDA
 - nVidia Driver NVIDIA-Linux-x86_64-470.82.01.run 
 - `sudo apt install nvidia-settings`
-- Build `cuda_check.c` with `nvcc -o check_cuda check_cuda.c -lcuda`
+- Build `check_cuda.c` with `nvcc -o check_cuda check_cuda.c -lcuda`
 - Verify the output of check_cuda: `Compute Capability: 3.5`    
 
 ## Installing
@@ -25,7 +25,9 @@ To use the old but cheap Tesla K20Xm with openAI Clip you need to downgrade torc
 ### Building PyTorch 
 
 switch to gcc8
+
 `sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 8`
+
 `sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-8 8`
 
 Verify
@@ -33,7 +35,7 @@ Verify
 
 `conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses`
 
-`conda install -c magma-cuda101`
+`conda install -c pytorch magma-cuda101`
 
 change to a tmp dir 
 
@@ -52,11 +54,14 @@ build pytorch and install it
 `clear && TORCH_CUDA_ARCH_LIST="3.5 6.1" python setup.py install`
 
 run the `torch_test.py` to verify that CUDA is available and version: 
+
 `True`
 `1.7.0a0+57bffc3`
 
 ### Building TorchVision
 
+change to a tmp dir 
+
 `git clone https://github.com/pytorch/vision.git`
 
 `cd vision/`